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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Technician - Mouse Surgery & Neuroscience Mission EPFL (École Polytechnique Fédérale de Lausanne
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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the application form provided below. It should be duly completed (including recommendation letters) before the deadline specified by the doctoral program of your choice. Selection Students wishing to do their PhD
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to advance knowledge in the following domains: Formal verification and interactive theorem proving (Rocq, Lean) Secure and high-performance computer systems, including ML infrastructure We seek outstanding
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probes for cryo- SPM Development and optimization of wafer-scale micro- and nanofabrication processes, including integration of sensing, actuation and electrical functionalities Mechanical, electrical and
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processing strategies that can enable the fabrication of a wide variety of advanced functional materials and devices. We are seeking a candidate with experience either in a) the development of (macro)monomers
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for sensitive data. · Work with the operational teams to implement robust processes for traceability, data governance, and responsible data use. Human Biological Samples and Biobanking: · Provide strategic
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pollutants, with particular interest in ultrafine particles and indoor aerosols; Concentrations, dynamics, and transformations of indoor pollutants, including physical and chemical processes occurring after
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, including physical and chemical processes occurring after emission; Human inhalation exposure to indoor air pollutants and factors influencing exposure; Experimental characterization of indoor aerosols and
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the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Proof assistants such as Lean, together